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Sung Y. Kim

dblp:219/2715 · DBLP profile ↗
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3ranked-venue papers
3as first author
2since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 3 first-author · 2 since 2021Systems, architecture and hardware · 3 · 3 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Robot manipulation · 59% Motion planning and robot control · 30% Legged, aerial and field robots · 12%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
compliant actuation
0.712023
Controllable Mechanical-domain Energy Accumulators · ICRA 2023
Robotics › Robot manipulation
compliant manipulation
0.412020
Variable Stiffness Springs for Energy Storage Applications · ICRA 2020
Robotics › Robot manipulation
robot design
0.412020
Variable Stiffness Springs for Energy Storage Applications · ICRA 2020
Robotics › Robot manipulation › actuator design › compliant actuator
variable stiffness actuator
0.412020
Variable Stiffness Springs for Energy Storage Applications · ICRA 2020
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
jumping
0.112020
Variable Stiffness Springs for Energy Storage Applications · ICRA 2020
Robotics › Legged, aerial and field robots
legged robots
0.112020
Variable Stiffness Springs for Energy Storage Applications · ICRA 2020

Methods — techniques the papers use, named apart from their topics

mechanical design · 1.3capstan clutch · 1.3analytical modeling · 1.3variable stiffness spring design · 0.4air spring · 0.4
YearPublicationVenuePosition
2023 Controllable Mechanical-domain Energy Accumulators
abstract
Springs are efficient in storing and returning elastic potential energy but are unable to hold the energy they store in the absence of an external load. Lockable springs use clutches to hold elastic potential energy in the absence of an external load, but have not yet been widely adopted in applications, partly because clutches introduce design complexity, reduce energy efficiency, and typically do not afford high fidelity control over the energy stored by the spring. Here, we present the design of a novel lockable compression spring that uses a small capstan clutch to passively lock a mechanical spring. The capstan clutch can lock over 1000 N force at any arbitrary deflection, unlock the spring in less than 10 ms with a control force less than 1% of the maximal spring force, and provide an 80% energy storage and return efficiency (comparable to a highly efficient electric motor operated at constant nominal speed). By retaining the form factor of a regular spring while providing high-fidelity locking capability even under large spring forces, the proposed design could facilitate the development of energy-efficient spring-based actuators and robots.
Sung Y. Kim, David J. Braun
ICRA1
2021 Novel Variable Stiffness Spring Mechanism: Modulating Stiffness Independent of the Energy Stored by the Spring
abstract
Theory suggests a linear relation between stiffness and the energy stored by a linear helical spring at constant deformation. This relation implies that increasing the stiffness of a helical spring upon deformation requires more energy at larger deformations. State-of-the-art variable stiffness spring actuators, used to drive robots and human assistive and augmentation devices, are characterized by a similar relation: increasing stiffness as the spring is deformed costs more energy as more energy is stored by the spring. This feature imposes an apparently fundamental limitation on variable stiffness spring actuation in demanding tasks, such as lifting more, jumping higher, or running faster, because, in all these tasks, the variable stiffness spring should store a considerable amount of energy and provide different stiffness to accommodate different weights in lifting, heights in jumping, and speeds in running. Here, we present an innovative variable stiffness spring design, where the energy cost of changing stiffness is independent of the energy stored by the spring. The key element of the new design is a novel floating spring which changes stiffness without changing the energy stored by the spring. Springs possessing the aforementioned feature could pave the way towards variable stiffness robot actuation and human augmentation using smaller motors and smaller battery packs.
Sung Y. Kim, David J. Braun
IROS1
2020 Variable Stiffness Springs for Energy Storage Applications
abstract
Theory suggests an inverse relation between the stiffness and the energy storage capacity for linear helical springs: reducing the active length of the spring by 50% increases its stiffness by 100%, but reduces its energy storage capacity by 50%. State-of-the-art variable stiffness actuators used to drive robots are characterized by a similar inverse relation, implying reduced energy storage capacity for increased spring stiffness. This relation limits the potential of the variable stiffness actuation technology when it comes to human performance augmentation in natural tasks, e.g., jumping, weight-bearing and running, which may necessitate a spring exoskeleton with large stiffness range and high energy storage capacity. In this paper, we theoretically show that the trade-off between stiffness range and energy storage capacity is not fundamental; it is possible to develop variable stiffness springs with simultaneously increasing stiffness and energy storage capacity. Consistent with the theory, we experimentally show that a controllable volume air spring, has a direct relation between its stiffness range and energy storage capacity. The mathematical conditions presented in this paper may be used to develop actuators that could bypass the limited energy storage capacity of current variable stiffness spring technology.
Sung Y. Kim, Tiange Zhang, David J. Braun
ICRA1